Daniel Goller
Zitiert von
Zitiert von
Let’s meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues
D Goller, A Krumer
European Journal of Operational Research 286 (2), 740-754, 2020
Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed
D Goller, M Lechner, A Moczall, J Wolff
Labour Economics, 101855, 2020
"Too shocked to search" The COVID-19 shutdowns' impact on the search for apprenticeships
D Goller, SC Wolter
Economics of Education Working Paper Series, 2021
Predicting Match Outcomes in Football by an Ordered Forest Estimator
D Goller, MC Knaus, M Lechner, G Okasa
Economics Working Paper Series, 2018
Active labour market policies for the long-term unemployed: New evidence from causal machine learning
D Goller, T Harrer, M Lechner, J Wolff
Economics Working Paper Series, 2021
Analysing a built-in advantage in asymmetric darts contests using causal machine learning
D Goller
arXiv preprint arXiv:2008.07165, 2020
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